![]() Conclusions of Slicing in Python tutorial You can also use _setitem_() to modify data and _delitem_() to delete data, potentially combined with slices. If you pass start:stop:step instead, _getitem_() actually obtains a slice object as an argument. If you pass an integer to _getitem_(), it will behave as an index of self._data. print ( 'index or slice:', index_or_slice ). Let’s create one string, one tuple, and one list to illustrate how to use indices: This means the index 0 corresponds to the first (leftmost) item of a sequence, 1 to the second item, and so on. You can access a single item of a Python sequence (such as string, tuple, or list) with the corresponding integer indices. If you prefer video here is the Slicing in Python tutorial on youtube: This article shows how to access, modify, and delete items with indices and slices, as well as how to use the built-in class slice(). Slicing enables writing clean, concise, and readable code. Slices can also be applied on third-party objects like NumPy arrays, as well as Pandas series and data frames. You can also use them to modify or delete the items of mutable sequences such as lists. Slicing in Python is a feature that enables accessing parts of sequences like strings, tuples, and lists.
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